High Signal Podcasts Evidence ledger
Method
Browse
← Back to evidence

Evidence receipt / belief

Published · transcript-backed

Ben Todd: belief

26 May 2026 The Cognitive Revolution Your Biggest Lever: Designing your AI Career for Maximum Impact, with 80,000 Hours founder Ben Todd

“I think a bigger point I might make about this is like, I guess I come at this from a perspective of just we're very uncertain about all of these different priorities and what's going to happen.”

— Ben Todd

Source trail

Everything needed to verify it.

Speaker
Ben Todd
Attribution
Verified speaker
Claim type
belief
Recorded
26 May 2026
Publisher
The Cognitive Revolution

Transcript context

…One other argument that people have made a lot who I think are especially skeptical of AI companies, but I guess just maybe just have a hype doom as you framed it earlier, is that safety work is ultimately still counterproductive. Sometimes that's framed as saying safety ultimately is just an accelerant of the capability frontier. For example, we had things like RLHF that were supposed to be a safety measure. And in some sense, they do make the model, any given individual model, safer to use. But then they also have had the property of making the AIs much more useful and just accelerating the overall pace of development in the space, bringing lots more resources in as it became clear that, hey, these things can in fact be harnessed and become super useful. And I wonder how you feel about that now. The argument that those people usually make is just try to shut the whole thing down. And this is not my point of view to be clear, because I do really value the upside that we're getting. But There is some truth to that argument. I can't quite dismiss it. How would you assess that argument and how moved people should be by the sort of even AI safety, even technical AI safety work is still bad argument. I mean, technical AI safety definitely does seem to sometimes improve capabilities and therefore accelerate AI overall. The question is just, are you getting enough benefit out of it to make up for that cost? Because world where we don't do any safety research also seems pretty scary, right? My sense is it's best to have a thriving safety ecosystem who are really tracking the biggest risks and trying to do something about them, even if they will also accelerate things a bit even more compared to a counterfactual where basically things are still going very fast, but we don't have a safety research ecosystem. It does depend on whether you think, if you just think alignment or AI control is ultimately impossible, then yeah, that doesn't make sense. I think a bigger point I might make about this is like, I guess I come at this from a perspective of just we're very uncertain about all of these different priorities and what's going to happen. And that, at least for me, makes me intuitively want to see a bit of a portfolio of efforts across different scenarios. And so I'm like, I'm pretty into the idea of there being some people who are really trying to build support for some type of international pause. I think like a one year pause at the point at which an algorithmic feedback loop becomes possible or some kind of temporary pause seems like it could be extremely helpful. At the very minimum, that's like a thing that I think many people could agree upon. But then I do also want there to be a lot of effort going into the scenarios where, no, this is happening, like it's not really pausing. and just betting 100% on the pause seems that's leaving a lot of like low hanging fruit on the other scenarios on the table. Yeah, portfolio approach, I think is kind of always an answer to this. It does seem like there's room for it.…

Stored transcript either side of the excerpt. The highlighted words are the published quote; the surrounding text is unedited source, never generated.

Search evidence